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Are you interested in advanced computational modelling and state-of-the-art scientific software? Join us in creating the Bayesian multiverse: a computational framework for robust statistical analyses
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
covers the object's entire life cycle and uses real-time data sent by sensors on the object to simulate its behavior, monitor operations, and anticipate its functioning. Partial differential equation (PDE
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objective is to develop methods that move beyond correlation-based prediction toward causal reasoning, intervention-aware modelling, and interpretable AI systems. This transition from correlation to causation
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chromatographic techniques. Integration and synthesis of previous data with newly collected data on fatty acids, cyanotoxins, and stable isotopes. Application of Bayesian mixing models to investigate consumer diets
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incorporate methods that integrate: - Mendelian randomization and genetic instruments - Bayesian hierarchical models and Gaussian graphical models - Multi-layer data integration across tissues and omics
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systems, and multi-objective optimization. Prof. Freja Nygaard Rasmussen – life cycle assessment Prof. Sebastien Gros – decision-making, energy use, AI and machine learning Dr. Signe Riemer-Sørensen - AI
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, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 13 hours ago
context of the ANR PRCI CoDaLi project, with Inria Rennes and the RPTU (https://rptu.de/ ). The general objective of the CoCoDaLi project is to design and implement offline and runtime techniques that allow
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of extension based on your performance and the acquisition of additional funding. The ultimate objective is to complete your PhD within a four-year timeframe. The research will be based at campus Kulak in
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of molecular datasets, within an interdisciplinary research environment, and researchers will contribute to the development of a project with a clear translational objective. We welcome expressions of interest